Triple
T5286356
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Victoria Cross for Australia |
E119628
|
entity |
| Predicate | firstAwardedOn |
P124
|
FINISHED |
| Object | 2006-01-26 |
—
|
LITERAL FINISHED |
How this triple was built (2 steps)
Every LLM step that produced this triple, in pipeline order — named-entity classification, the disambiguation choices (the exact options shown, with the pick highlighted), and the generated description. The batch + timestamp of each is in the Provenance table below.
NER
Named-entity recognition
gpt-5-mini
Instruction
Given a phrase, classify it is english named entity (e.g., persons, organizations, works of art) in Latin script, or not (e.g., literals, dates, URLs, verbose phrases). For disambiguation, the statement where the phrase occurs as object is also given. Please return a JSON object with `phrase` (string, the phrase being analyzed) and `is_ne` (boolean, indicating whether the phrase is a Named Entity).
Input
Phrase: 2006-01-26 | Statement: [Victoria Cross for Australia, firstAwardedOn, 2006-01-26]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: firstAwardedOn Context triple: [Victoria Cross for Australia, firstAwardedOn, 2006-01-26]
-
A.
firstAwarded
chosen
Indicates the time or occasion when an award, honor, or recognition was given for the very first time.
-
B.
initialAwardYear
Indicates the year in which an entity first received a particular award.
-
C.
awardedSince
Indicates that an entity has been receiving a particular award continuously from a specified starting time onward.
-
D.
lastAwarded
Indicates the most recent time or instance at which an entity received a particular award.
-
E.
firstClassAwardedTo
Indicates that a first-class distinction, honor, or top-level award is given to a particular recipient.
- F. None of above.
Provenance (3 batches)
The batch behind each pipeline step, in order, with when it ran. Timestamps are batch-level — stages were processed in waves, so the object chain (NER → NED1 → NEDg → NED2) reads in order, but predicate / elicitation batches can sit in a different wave.
| Step | Stage | Batch ID | Status | When |
|---|---|---|---|---|
| creating | Elicitation | batch_69bd446de5648190b313a90bd96730d2 |
completed | March 20, 2026, 12:58 p.m. |
| NER | Named-entity recognition | batch_69bd8c9c72b08190947b6b955ac1bb5a |
completed | March 20, 2026, 6:06 p.m. |
| PD | Predicate disambiguation | batch_69bd844a56b48190ad743c42246e02dd |
completed | March 20, 2026, 5:30 p.m. |
Created at: March 20, 2026, 1:52 p.m.